Francisco Martinez

Pos3B
B/TR/R
Born1990-09-01
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201423AA/INTL2 orgs359.214/.256/.25912124—.201/.232/.245
201524A+/INTL2 orgs579.263/.296/.390102150—.219/.239/.327
201625INTLLeones del Ca…18.294/.294/.2940056—
Contract
No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
200817 ROKVSL Tigers — 280249 80401 28282 2010 321394349744 28359 1010 343 48 — — — — — —
200918 A+Lakeland Flying Tigers — 1818 3000 030 10 167167167333 200 170 151 -26 — — — — — —
200918 ROKGCL Tigers — 168153 34902 5383 111 222261320581 98276 233 251 10 — — — — — —
201019 A+Lakeland Flying Tigers — 374340 921713 28713 125 271332353684 82332 197 309 63 — — — — — —
201019 INTLSurprise Rafters — 5654 15410 2130 20 278304389692 111366 234 307 94 — — — — — —
201120 AAJackson Generals — 509477 13821710 231041 1010 289323426749 136349 205 327 76 — — — — — —
201120 INTLNavegantes del Magallanes — 9284 23400 6210 02 274322321644 48354 237 288 81 — — — — — —
201221 AAJackson Generals — 402352 801612 43852 277 227315295610 68294 2111 281 51 — — — — — —
201221 ROKAZL Mariners — 3128 8220 161 10 286333500833 214348 193 350 53 — — — — — —
201221 INTLNavegantes del Magallanes — 3330 6110 360 10 200273300573 100250 189 261 63 — — — — — —
201322 AAJackson Generals — 136126 26600 6430 70 206242254496 48313 324 221 12 — — — — — —
201322 A+Lakeland Flying Tigers — 314288 851313 21553 113 295349378728 83353 187 328 71 — — — — — —
201423 AAErie SeaWolves — 340317 711201 18721 213 224268271539 47283 215 245 30 — — — — — —
201423 INTLNavegantes del Magallanes — 1919 1000 090 00 535353105 100 470 48 -82 — — — — — —
201524 A+Lakeland Flying Tigers — 533508 13730410 221031 208 270301404705 134320 194 312 51 — — — — — —
201524 INTLLeones del Caracas — 4643 8200 390 10 186239233472 47235 207 219 35 — — — — — —
201625 INTLLeones del Caracas — 1817 5000 050 00 294294294588 385 280 251 56 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200817 ROK MLEVSL Tigers — 280257 58300 20342 2010 226287237524 12256 127 239 48 — — — — — —
200918 A+ MLELakeland Flying Tigers — 1818 3000 040 10 167167167333 193 220 130 -26 — — — — — —
200918 ROK MLEGCL Tigers — 168155 25601 3553 111 161193219412 58221 332 183 10 — — — — — —
201019 A+ MLELakeland Flying Tigers — 374347 801513 211043 125 231280305586 75314 286 261 63 — — — — — —
201120 AA MLEJackson Generals — 509485 1261957 151231 1010 260283363646 103326 243 281 76 — — — — — —
201221 AA MLEJackson Generals — 402366 791312 291072 277 216277273550 57292 277 244 51 — — — — — —
201221 ROK MLEAZL Mariners — 3128 5110 191 10 179233286519 107261 293 247 53 — — — — — —
201322 AA MLEJackson Generals — 136128 23500 4530 70 180205219423 39295 393 186 12 — — — — — —
201322 A+ MLELakeland Flying Tigers — 314294 751312 15773 113 255298327625 71328 255 273 71 — — — — — —
201423 AA MLEErie SeaWolves — 340323 651101 12861 213 201232245477 43264 254 212 30 — — — — — —
201524 A+ MLELakeland Flying Tigers — 533517 1132638 131521 208 219239327566 108289 292 244 51 — — — — — —
200817 ROK MLEVSL Tigers — 280257 58300 20342 2010 226287237524 12260 127 239 48 — — — — — —
200817 ROK RAWVSL Tigers — 280249 80401 28282 2010 321394349744 28359 1010 343 48 — — — — — —
200918 ROK MLE2 teams — 186173 28601 3593 121 162190214404 52233 322 178 7 — — — — — —
200918 ROK RAW2 teams — 186171 37902 5413 121 216251304555 88267 223 242 7 — — — — — —
201019 A+ MLE2 teams — 430399 921714 251203 145 231281308589 78318 286 261 63 — — — — — —
201019 A+ RAW2 teams — 430394 1072123 30843 145 272328358686 86337 207 309 63 — — — — — —
201120 AA MLE2 teams — 601572 1492269 181451 1012 260284367651 107330 243 281 76 — — — — — —
201120 AA RAW2 teams — 601561 16125710 291251 1012 287323410733 123350 215 321 76 — — — — — —
201221 AA MLE3 teams — 466425 911522 321243 297 214274273547 59297 277 244 51 — — — — — —
201221 AA RAW3 teams — 466410 941942 47973 297 229313310623 80295 2110 284 51 — — — — — —
201322 A+ MLE2 teams — 450422 981812 191293 183 232270294564 62328 294 247 53 — — — — — —
201322 A+ RAW2 teams — 450414 1111913 27983 183 268318341658 72343 226 295 53 — — — — — —
201423 AA MLE2 teams — 359341 681101 13911 213 199231240471 41266 254 212 30 — — — — — —
201423 AA RAW2 teams — 359336 721201 18811 213 214256259515 45276 235 234 30 — — — — — —
201524 A+ MLE2 teams — 579562 1222839 141651 218 217237326563 109290 282 244 51 — — — — — —
201524 A+ RAW2 teams — 579551 14532410 251121 218 263296390687 127313 194 304 51 — — — — — —
201625 INTL MLELeones del Caracas — 1817 5000 050 00 294294294588 385 280 — — — — — — — —
201625 INTL RAWLeones del Caracas — 1817 5000 050 00 294294294588 385 280 251 56 — — — — — —
200817 ROK MLEVSL Tigers — 280256 58300 20342 2010 227287238525 12256 127 239 48 — — — — — —
200918 ROK MLE2 teams — 186178 28601 3593 121 157190208398 51218 322 178 7 — — — — — —
201019 A+ MLE2 teams — 430399 921714 251203 145 231281308589 78314 286 261 63 — — — — — —
201120 AA MLE2 teams — 601577 1492269 181451 1012 258284364648 106326 243 281 76 — — — — — —
201221 AA MLE3 teams — 466428 911522 321243 297 213274271545 58290 277 244 51 — — — — — —
201322 A+ MLE2 teams — 450425 981812 191293 183 231270292562 61318 294 247 53 — — — — — —
201423 AA MLE2 teams — 359342 681101 13911 213 199231240471 41264 254 212 30 — — — — — —
201524 A+ MLE2 teams — 579559 1222839 141651 218 218237327565 109289 282 244 51 — — — — — —
▸ Career Totals
Career— MLE — 33693168 7111201328 14487217 14549 224262297559 73299 264 244 52 -194 +9 +0 +12 +73 -10.2
/ 162G— MLE — 650611 1372335 281683 289 224262296558 72299 264 244 52 -37 +2 +0 +2 +14 -1.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2015 A+Lakeland Flying Tigers · 533 PAwOBA .303 → .244 (−59)K% 19.3% → 28.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.32%÷0.962×1.420——28.51%
BB% (unintentional) /PA3.75%÷1.116×0.750—×0.9782.47%
HBP% /PA0.19%—×0.930—×0.9780.17%
Singles /BIP22.96%÷0.976×0.920×0.976×0.97820.67%
Doubles /BIP7.41%÷0.973×0.960×0.976×0.9786.97%
Triples /BIP0.99%÷0.913×0.810×0.976×0.9780.84%
Home runs /BIP2.47%÷0.981×0.880—×0.9782.17%

Factors used: league row FSL. Park (home-season share, regressed): HR 96, 1B 95, 2B 95, 3B 83, K 92, BB 123 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .303 → .244; ISO .134 → .109; BABIP .320 → .289. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 AAErie SeaWolves · 340 PAwOBA .239 → .212 (−28)K% 21.2% → 25.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.18%÷1.020×1.220——25.34%
BB% (unintentional) /PA5.00%÷0.981×0.700—×1.0123.61%
HBP% /PA0.29%—×0.850—×1.0120.25%
Singles /BIP23.67%÷1.042×0.970×0.994×1.01222.19%
Doubles /BIP4.90%÷0.945×0.860×0.994×1.0124.48%
Triples /BIP0.00%÷1.150×0.950×0.994×1.0120.00%
Home runs /BIP0.41%÷0.975×0.780—×1.0120.33%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 108, 2B 89, 3B 130, K 104, BB 96 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .239 → .212; ISO .047 → .042; BABIP .283 → .264. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 A+Lakeland Flying Tigers · 314 PAwOBA .321 → .273 (−48)K% 17.5% → 24.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.52%÷1.018×1.420——24.44%
BB% (unintentional) /PA6.69%÷1.045×0.750—×0.9984.79%
HBP% /PA0.96%—×0.930—×0.9980.89%
Singles /BIP29.18%÷1.011×0.920×1.007×0.99826.71%
Doubles /BIP5.58%÷0.944×0.960×1.007×0.9985.70%
Triples /BIP0.43%÷1.150×0.810×1.007×0.9980.30%
Home runs /BIP1.29%÷1.067×0.880—×0.9981.06%

Factors used: league row FSL. Park (home-season share, regressed): HR 113, 1B 102, 2B 89, 3B 130, K 104, BB 109 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .321 → .273; ISO .083 → .072; BABIP .353 → .328. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 AAJackson Generals · 136 PAwOBA .215 → .186 (−29)K% 31.6% → 38.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.62%÷0.994×1.220——38.81%
BB% (unintentional) /PA4.41%÷1.020×0.680—×1.0273.02%
HBP% /PA0.00%—×0.840—×1.0270.00%
Singles /BIP24.10%÷1.046×0.920×1.050×1.02722.84%
Doubles /BIP7.23%÷1.065×0.910×1.050×1.0276.66%
Triples /BIP0.00%÷1.144×0.880×1.050×1.0270.00%
Home runs /BIP0.00%÷1.069×0.800—×1.0270.00%

Factors used: league row SL. Park (home-season share, regressed): HR 114, 1B 109, 2B 113, 3B 129, K 99, BB 104 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .215 → .186; ISO .048 → .042; BABIP .313 → .295. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 AAJackson Generals · 402 PAwOBA .272 → .244 (−28)K% 21.1% → 26.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.14%÷0.974×1.220——26.48%
BB% (unintentional) /PA10.20%÷0.997×0.680—×1.0427.25%
HBP% /PA0.50%—×0.840—×1.0420.44%
Singles /BIP22.85%÷0.943×0.920×1.032×1.04223.95%
Doubles /BIP5.99%÷1.228×0.910×1.032×1.0424.77%
Triples /BIP0.37%÷1.150×0.880×1.032×1.0420.31%
Home runs /BIP0.75%÷0.957×0.800—×1.0420.65%

Factors used: league row SL. Park (home-season share, regressed): HR 91, 1B 89, 2B 146, 3B 130, K 95, BB 99 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .272 → .244; ISO .068 → .055; BABIP .294 → .292. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 ROKAZL Mariners · 31 PAwOBA .352 → .247 (−105)K% 19.4% → 27.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.35%÷1.000×1.440——27.87%
BB% (unintentional) /PA3.23%÷1.000×0.620—×0.9751.95%
HBP% /PA3.23%—×0.720—×0.9752.26%
Singles /BIP18.18%÷1.000×0.820—×0.97514.54%
Doubles /BIP9.09%÷1.000×0.720—×0.9756.38%
Triples /BIP9.09%÷1.000×0.720—×0.9756.38%
Home runs /BIP0.00%÷1.000×0.780—×0.9750.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .352 → .247; ISO .214 → .144; BABIP .348 → .261. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 AAJackson Generals · 509 PAwOBA .320 → .281 (−40)K% 20.4% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.43%÷1.031×1.220——24.18%
BB% (unintentional) /PA4.52%÷1.063×0.680—×1.0503.03%
HBP% /PA0.20%—×0.840—×1.0500.17%
Singles /BIP26.81%÷0.986×0.920×0.979×1.05025.71%
Doubles /BIP5.63%÷1.028×0.910×0.979×1.0505.12%
Triples /BIP1.88%÷1.150×0.880×0.979×1.0501.48%
Home runs /BIP2.68%÷1.130×0.800—×1.0501.99%

Factors used: league row SL. Park (home-season share, regressed): HR 126, 1B 97, 2B 106, 3B 130, K 106, BB 113 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .320 → .281; ISO .136 → .109; BABIP .349 → .326. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2010 A+Lakeland Flying Tigers · 374 PAwOBA .302 → .261 (−41)K% 19.0% → 27.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.98%÷0.967×1.420——27.87%
BB% (unintentional) /PA7.22%÷0.987×0.750—×1.0425.72%
HBP% /PA0.80%—×0.930—×1.0420.78%
Singles /BIP26.39%÷1.040×0.920×1.023×1.04224.88%
Doubles /BIP6.32%÷1.063×0.960×1.023×1.0426.08%
Triples /BIP0.37%÷1.150×0.810×1.023×1.0420.28%
Home runs /BIP1.12%÷0.772×0.880—×1.0421.32%

Factors used: league row FSL. Park (home-season share, regressed): HR 54, 1B 108, 2B 113, 3B 130, K 93, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .302 → .261; ISO .082 → .077; BABIP .332 → .314. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .